Social Learning With Bayesian Agents and Random Decision Making

In this paper, we study the effect of randomness in the decision making of agents on social learning. In the addressed system, the agents make decisions sequentially about the true state of nature. Each agent observes a signal produced according to one of two hypotheses, which represents the state o...

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Veröffentlicht in:	IEEE transactions on signal processing 2015-06, Vol.63 (12), p.3241-3250
Hauptverfasser:	Yunlong Wang, Djuric, Petar M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Abstracts asymptotic learning Bayes methods Bayesian learning Convergence Data models Decision making information cascade Learning systems random decision making Simulation Social learning
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